Enhancing neuro imaging genetics through meta analysis: global collaborations in psychiatry by the ENIGMA consortium

Author(s):  
Agnes McMahon
2020 ◽  
Author(s):  
Unn K. Haukvik ◽  
Tiril P. Gurholt ◽  
Stener Nerland ◽  
Torbjørn Elvsåshagen ◽  
Theophilus N. Akudjedu ◽  
...  

2020 ◽  
Author(s):  
Sarah Medland ◽  
Katrina L. Grasby ◽  
Neda Jahanshad ◽  
Jodie N. Painter ◽  
Lucía Colodro-Conde ◽  
...  

Here we review the motivation for creating the ENIGMA (Enhancing NeuroImaging Genetics through Meta Analysis) Consortium and the genetic analyses undertaken by the consortium so far. We discuss the methodological challenges, findings and future directions of the Genetics Working Group. A major goal of the working group is tackling the reproducibility crisis affecting ‘candidate gene’ and genome-wide association analyses in neuroimaging. To address this, we developed harmonised analytic methods, and support their use in coordinated analyses across sites worldwide, which also makes it possible to understand heterogeneity in results across sites. These efforts have resulted in the identification of hundreds of common genomic loci robustly associated with brain structure. We showed common and distinct genetic loci to be associated with different brain structures, as well as genetic correlations with psychiatric and neurological diseases.


2020 ◽  
Author(s):  
Sarah E. Medland ◽  
Katrina L. Grasby ◽  
Neda Jahanshad ◽  
Jodie N. Painter ◽  
Lucía Colodro‐Conde ◽  
...  

2017 ◽  
Vol 41 (S1) ◽  
pp. s805-s806
Author(s):  
D. Cohen

Studies of mortality-rates and life expectancy in schizophrenia have consistently shown that the standardized mortality rate (SMR) are raised compared to the general population. In a meta-analysis (2007) of 38 studies with 22,296 deaths, all cause SMR was 2.98. SMR in a French cohort study (2009) in 3470 patients with schizophrenia, were 3.6 for men and 4.3 for women. A recent epidemiological study (2015) of a US-cohort of 1,138,853 individuals with schizophrenia, 4,807,121 million years of follow-up and 74,003 deaths, all cause SMR was 3.7 for the total population: 3.3 for men and 4.3 for women. Life expectancy, the other side of the coin of increased SMR, in this study was reduced with 28.5 years. Studies in life expectancy, the other side of the coin of increased SMR, show a substantial, if not alarming reduced life expectancy. Israel with 12.5 years and Denmark–15 years for women and 20 years for men – reported the lowest reduction in life expectancy, while Arizona reported the highest reduction of 32 years. Progress in such diverse fields as genetics, neuro-imaging, early diagnosis of (ultra) high-risk populations, CBT and rehabilitation treatment, has not improved schizophrenia SMR or life expectancy. On the contrary, in far a trend is visible, the situation tends to worsen, not to improve. After going through the barriers for optimal somatic care, both patient and health care related, we will discuss options for improvement of the level of somatic health care, at the preventive and therapeutic level.Disclosure of interestThe author has not supplied his/her declaration of competing interest.


Stroke ◽  
2020 ◽  
Vol 51 (7) ◽  
pp. 2111-2121 ◽  
Author(s):  
Nicola J. Armstrong ◽  
Karen A. Mather ◽  
Muralidharan Sargurupremraj ◽  
Maria J. Knol ◽  
Rainer Malik ◽  
...  

Background and Purpose: Periventricular white matter hyperintensities (WMH; PVWMH) and deep WMH (DWMH) are regional classifications of WMH and reflect proposed differences in cause. In the first study, to date, we undertook genome-wide association analyses of DWMH and PVWMH to show that these phenotypes have different genetic underpinnings. Methods: Participants were aged 45 years and older, free of stroke and dementia. We conducted genome-wide association analyses of PVWMH and DWMH in 26,654 participants from CHARGE (Cohorts for Heart and Aging Research in Genomic Epidemiology), ENIGMA (Enhancing Neuro-Imaging Genetics Through Meta-Analysis), and the UKB (UK Biobank). Regional correlations were investigated using the genome-wide association analyses -pairwise method. Cross-trait genetic correlations between PVWMH, DWMH, stroke, and dementia were estimated using LDSC. Results: In the discovery and replication analysis, for PVWMH only, we found associations on chromosomes 2 ( NBEAL ), 10q23.1 ( TSPAN14/FAM231A ), and 10q24.33 ( SH3PXD2A). In the much larger combined meta-analysis of all cohorts, we identified ten significant regions for PVWMH: chromosomes 2 (3 regions), 6, 7, 10 (2 regions), 13, 16, and 17q23.1. New loci of interest include 7q36.1 ( NOS3 ) and 16q24.2. In both the discovery/replication and combined analysis, we found genome-wide significant associations for the 17q25.1 locus for both DWMH and PVWMH. Using gene-based association analysis, 19 genes across all regions were identified for PVWMH only, including the new genes: CALCRL (2q32.1), KLHL24 (3q27.1), VCAN (5q27.1), and POLR2F (22q13.1). Thirteen genes in the 17q25.1 locus were significant for both phenotypes. More extensive genetic correlations were observed for PVWMH with small vessel ischemic stroke. There were no associations with dementia for either phenotype. Conclusions: Our study confirms these phenotypes have distinct and also shared genetic architectures. Genetic analyses indicated PVWMH was more associated with ischemic stroke whilst DWMH loci were implicated in vascular, astrocyte, and neuronal function. Our study confirms these phenotypes are distinct neuroimaging classifications and identifies new candidate genes associated with PVWMH only.


2013 ◽  
Vol 20 (4) ◽  
pp. 504-513 ◽  
Author(s):  
Jun-Long LUO ◽  
Yi-Gui QIN ◽  
Wen-Fu LI ◽  
Hai-Xue Zhu ◽  
Yan TIAN ◽  
...  

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